Vertiv Holdings
Services Data Analytics Analyst
Job at a glance
- Sector
- Engineering & Technology
- Posted
- Nov 6, 2026
- First found
- Nov 6, 2026, 4:33 PM ET
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About the job
POSITION SUMMARY
We are seeking a skilled Data Scientist / Business Intelligence Developer to join our Business Analytics team. In this role, you will design, develop, test, and support data analytics and BI solutions that drive insights and decision-making across multiple business functions. The ideal candidate is data-driven, analytical, and capable of transforming raw data into strategic business value
RESPONSIBILITIES
Primary Focus:
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Collaborate with the Business Analytics team to build and maintain scalable analytics and BI solutions.
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Work with large datasets to uncover actionable insights that support business strategies.
Data & Solution Development:
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Collect and integrate data from legacy systems, Oracle EBS, cloud platforms, and emerging AI-powered data sources.
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Design and develop scalable, AI-enabled analytics pipelines that support both structured and unstructured data.
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Identify valuable data sources and implement automation for efficient data collection, transformation, and enrichment.
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Create reports, visualizations, and dashboards that leverage AI-driven insights to support departments such as Sales, Finance, Operations, Marketing, Procurement, and Supply Chain.
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Apply machine learning techniques and statistical models to uncover trends, detect anomalies, and predict future outcomes.
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Conduct deep data analysis to understand customer behavior and business performance; use AI models to simulate scenarios and optimize business decisions.
Technical Development & Support:
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Build, deploy, and maintain advanced BI and AI/ML-enabled dashboards and analytics tools using Microsoft SQL Server, Power BI, and Microsoft BI stack.
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Develop AI-enhanced workflow solutions and recommendation engines that support business processes.
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Ensure performance, scalability, and security of data products incorporating AI components when appropriate.
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Support the integration of AI services with enterprise applications and data ecosystems.
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Develop and maintain technical documentation, including documentation of AI models, data pipelines, and governance practices.
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Monitor and continuously improve existing BI and AI systems for accuracy, relevance, and usability.
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Explore and evaluate new AI technologies and frameworks, ensuring the organization remains at the forefront of intelligent analytics solutions.
General Expectations:
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Support leadership with data-driven insights for strategic decision-making.
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Continuously evaluate and enhance BI platforms.
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Stay current with BI and analytics trends and recommend improvements.
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Participate in cross-functional team collaboration and technical integrations.
QUALIFICATIONS
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Bachelor’s degree in Information Technology or a related field.
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1–3 years of business domain experience working with large datasets and solving complex business problems.
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Strong command of SQL and relational databases.
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Experience with Microsoft SQL Server, Power BI, and the Microsoft BI stack.
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Programming skills in .NET, Python, C#, or JavaScript.
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Familiarity with SDLC methodologies.
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Experience with Oracle EBS and SharePoint is a plus.
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Familiarity with AI/ML frameworks and experience applying machine learning models to real-world business problems.
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Exceptional analytical and problem-solving skills.
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Strong communication and presentation abilities.
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High attention to detail and time management.
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Ability to work independently and manage multiple priorities.
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Strong customer focus and interpersonal effectiveness.
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Comfortable working in a matrixed organization and engaging with all organizational levels.
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Strategic thinking with a results-oriented approach.
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Ability to mentor, train, and foster cross-team collaboration.
WORKING CONDITIONS
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Willing to work flexible hours
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Requires ability to maintain overall productivity in an interrupt-driven environment
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Travel as required (domestic & international)
Additional Information
- Job Identification: 20279135
- Job Category: Data Science Analytics
- Posting Date: 2026-11-06